Remove for loops in deviations function body

[krokosik]

Description

I am trying to adapt adaptive for sequential operations with a relatively fast function. I really love the package and would like to experiment with speeding up the learners themselves. This is a minor change which does not affect the speed much, as interpolators seem to be bottleneck, but since I already implemented it, I figured I'd share it :)

I also noticed the tutorial link in README is broken, so I included it here as it is a tiny change, but can remove it if you'd like.

Checklist

• Fixed style issues using pre-commit run --all (first install using pip install pre-commit)
• pytest passed

Type of change

Check relevant option(s).

• Bug fix (non-breaking change which fixes an issue)
• New feature (non-breaking change which adds functionality)
• Breaking change (fix or feature that would cause existing functionality to not work as expected)
• (Code) style fix or documentation update
• This change requires a documentation update

[basnijholt]

Awesome! The list of interpolator objects was for the case where a 2D function returns a 1D vector output I remember. Not sure if that is covered properly by the tests, if so all is good because everything passes 😄

AFK now but will check later.

[krokosik]

@basnijholt cool, thanky you! I also tested the new function on my data with thousands of points and an assertion of the old function result :)